• An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing 

      Qiu, Shi; Cheng, Keyang; Zhou, Tao; Tahir, Rabia; Ting, Liang (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Epilepsy is one kind of brain diseases, and its sudden unpredictability is the main cause of disability and even death. Thus, it is of great significance to identify electroencephalogram (EEG) during the seizure quickly ...
    • An Event Mesh for Event Driven IoT Applications 

      Berjón, Roberto; Mateos, Montserrat; Beato, M. Encarnación; Fermoso García, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In IoT contexts, software solutions are required to have components located in different environments: mobile, edge, fog or cloud. To design this type of application, event driven architecture (EDA) is used to develop ...
    • An intelligent edge enabled 6G-flying ad-hoc network ecosystem for precision agriculture 

      Mukherjee, Amartya; Kumar Panja, Ayan; Dey, Nilanjan; González-Crespo, Rubén (Expert Systems, 2023)
      Unmanned aerial vehicle based precision agriculture is a predominant research area. The modern flying ad-hoc network leverages the advanced low latency vehicular communication and intelligent computing paradigms that help ...
    • Edge Face Recognition System Based on One-Shot Augmented Learning 

      Jiménez-Bravo, Diego M.; Lozano Murciego, Álvaro; Sales, A.; Augusto Silva, Luis; De La Iglesia, Daniel H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      There is growing concern among users of computer systems about how their data is handled. In this sense, IT (Information Technology) professionals are not unaware of this problem and are looking for solutions to meet the ...
    • Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach 

      Proaño-Guevara, Daniel; Blanco Valencia, Xiomara Patricia; Rosero-Montalvo, Paul D.; Peluffo-Ordóñez, Diego H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...
    • Procesamiento de señales electromiográficas utilizando algoritmos de inteligencia artificial ‘on-the-edge’ 

      Proaño-Guevara, Daniel David (19/07/2020)
      En los últimos años, la inteligencia artificial se ha posicionado en todos los campos tecnológicos, principalmente ejecutando cálculos en sistemas distribuidos o en la nube, pero en aplicaciones como el procesamiento de ...
    • QEST: Quantized and Efficient Scene Text Detector Using Deep Learning 

      Manjari, Kanak; Verma, Madhushi; Singal, Gaurav; Namasudra, Suyel (ACM Transactions on Asian and Low-Resource Language Information Processing, 2023)
      Scene text detection is complicated and one of the most challenging tasks due to different environmental restrictions, such as illuminations, lighting conditions, tiny and curved texts, and many more. Most of the works on ...